Triple
T34255491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dela Cruz |
E878866
|
entity |
| Predicate | isUsedAsFictionalCharacterSurname |
P29280
|
FINISHED |
| Object | yes |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: yes | Statement: [Dela Cruz, isUsedAsFictionalCharacterSurname, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUsedAsFictionalCharacterSurname Context triple: [Dela Cruz, isUsedAsFictionalCharacterSurname, yes]
-
A.
usedAsFictionalCharacterSurname
chosen
Indicates that a surname is employed as the last name of a fictional character in a narrative work.
-
B.
isGivenNameOfFictionalCharacter
Indicates that a given name is the personal name borne by a fictional character.
-
C.
usedAsSurname
Indicates that something functions as a family name borne by a person or group of people.
-
D.
hasFictionalAlias
Indicates that an entity is known by an alternative name or identity within a fictional context.
-
E.
namedAfterFictionalCharacter
Indicates that one entity has been given its name in honor of, or derived from, a fictional character.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:56 a.m.